Shani Ben‐Moshe

AlphaPeptTools provides a scverse-native Python package for analyzing MS-based proteomics data, enabling scalable analysis and integration with other modalities.

The paper constructs a cell type-resolved proteomic atlas of the human body using Deep Visual Proteomics, revealing protein abundance patterns and uncovering cancer-testis antigens in oocytes.

This study uses single-cell spatial proteomics to map human liver zonation patterns and shows their disruption in fibrosis.

The paper identifies bi-fated tendon-to-bone attachment cells regulated by shared enhancers and KLF transcription factors, revealing how these cells integrate chondrocyte and tenocyte features.

The paper uses spatial sorting to characterize liver zonation by analyzing transcriptomics, microRNA arrays, and proteomics data.

The paper reconstructs the spatial expression of enterocytes along the intestinal villus axis and identifies zonation patterns in gene expression.